A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task
Paper summary Hermann et al (2015) created a dataset for testing reading comprehension by extracting summarised bullet points from CNN and Daily Mail. All the entities in the text are anonymised and the task is to place correct entities into empty slots based on the news article. https://i.imgur.com/qeJATKq.png This paper has hand-reviewed 100 samples from the dataset and concludes that around 25% of the questions are difficult or impossible to answer even for a human, mostly due to the anonymisation process. They present a simple classifier that achieves unexpectedly good results, and a neural network based on attention that beats all previous results by quite a margin.
aclweb.org
sci-hub
scholar.google.com
A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task
Chen, Danqi and Bolton, Jason and Manning, Christopher D.
Association for Computational Linguistics - 2016 via Local Bibsonomy
Keywords: dblp


Summary by Marek Rei 6 months ago
Loading...
Your comment:


ShortScience.org allows researchers to publish paper summaries that are voted on and ranked!
About

Sponsored by: and